Never again will you order the Poisson Distribution in a French restaurant!This updated version features all new material.

    Data is nuanced, and "a really excellent skeptic puts the term 'science' into 'data science.'" The big data revolution shouldn't be dismissed as hype, but current data science tools and models shouldn't be hailed as the end-all-be-all, either."

    The new edition is thoroughly updated, including most notably a new chapter on innate immunity, a capstone chapter on immune responses in time and space, and many new focus boxes drawing attention to exciting clinical, evolutionary, or experimental connections that help bring the material to life.See what's in the LaunchPad

    With 12 chapters and 1,244 practice problems, students can build fundamental skills in math and verbal through targeted practice. Plus, through easy-to-follow explanations and step-by-step applications, each question will help students cement their understanding of those concepts tested on the GRE. Purchase of this book includes access to additional online resources.

    Who knew Laine Crosby, former marketing executive at The Weather Channel, had the gift of being an Investigative Medium? Not even Laine, that is, until she moved from Atlanta to the property of an eighteenth century Maryland plantation and woke up talking to a former slave buried in her backyard! Investigative Medium - the Awakening, examines the gift that was thrust upon Laine who was at first surprised, and then upset, and over time and through experience, embracing of this new way of life. Laine’s husband, Chris, twins Annie and Caleb, and even her Jack Russell terrier “Steve” have peripheral ghostly involvement, so it is a family affair, although at first an unsettling one.Along Laine’s journey, she meets an unlikely friend, the spirit of Jannette, once nanny to the children on the plantation where she lives. Laine becomes Jannette's voice, bringing her back from the antebellum South to tell the incredible story of her life as a slave, and a tender romance is revealed. Interwoven with Laine’s personal story, are the first hand accounts of former slaves Jannette and Bill, and others.Laine finds similarities in her own life and Jannette's, and with Jannette's friendship, Laine begins her journey down a path of self discovery. Once Laine accepts her gift, it is her mother who, from beyond the grave, helps Laine find a way to surrender, and at long last give up on the life she dreamed of having, in order to have the life she was meant to live. Investigative Medium - the Awakening is first in the Investigative Medium series, a preface to future books about Laine's adventures with law enforcement, historians and archaeologists. It is a fast read and an uplifting and hopeful book for anyone who has lost a loved one. But, put on your seat belts; It's a thriller along the way!Now available as an ebook on Amazon, B&N, and Smashwords. Paperback available July 2013 (ISBN 978-1-940261-00-3)on LaineCrosby.com among other stores.

    Bad Boys Finish First: How to Stop Being the Nice Guy and Become the Man Women Can’t Resist will explain the evolutionary basis for why women love jerks--and how you can turn that to your advantage. Bad Boys Finish First offers easy, proven dating tips any guy can follow. Whether your goal is seduction or a lasting relationship, you’ll discover how to awaken the deepest desires in any woman. Inside the Book: How to be comfortable with your own masculinity The importance of not investing in any one woman Why you should tell her she looks fat in that dress The power of making statements, not asking questions The tests all women will give you--and how to pass them, every time And much more!You CAN escape the friendzone. Grab Bad Boys Finish First today, and watch as women flock to your side!

    With it has come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting—the first comprehensive treatment of this topic in any book. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie wrote much of the statistical modeling software in S-PLUS and invented principal curves and surfaces. Tibshirani proposed the Lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, and projection pursuit.

    Packed with full-color illustrations and case studies, this new edition offers a cutting-edge presentation of criminalistics and related laboratory subjects, including new chapters on forensic nursing and forensic entomology/botany. Written by highly respected experts, the book covers the very latest theories and practices in areas such as DNA testing, crime reconstruction, toxicology, chemistry of explosives and arson, and vehicle reconstruction. Also included are an instructor's manual and laboratory exercise manual.

    Theory and practice in the design of data graphics, 250 illustrations of the best (and a few of the worst) statistical graphics, with detailed analysis of how to display data for precise, effective, quick analysis. Design of the high-resolution displays, small multiples. Editing and improving graphics. The data-ink ratio. Time-series, relational graphics, data maps, multivariate designs. Detection of graphical deception: design variation vs. data variation. Sources of deception. Aesthetics and data graphical displays. This is the second edition of The Visual Display of Quantitative Information. Recently published, this new edition provides excellent color reproductions of the many graphics of William Playfair, adds color to other images, and includes all the changes and corrections accumulated during 17 printings of the first edition.

    Whether you are a beginner or an advanced student of meditation, Qigong or Yoga, this book is for you! The dozens of easy to follow warm up exercises and ancient meditation techniques alone is worth the cost of this course. However, Oceanic Mind introduces not only the finest techniques, but a complete meditation strategy training for consistently profound meditation. The strategy training transforms meditation into a much much easier and a more customized process. Regardless of your background, you will love this book.

    Each year, the series editor and guest editor curates a truly exceptional collection. The only shared traits among all these diverse styles, voices, and stories are the extraordinarily high caliber of writing, and the pure passion they tap into that can only come from sports.

    In clear, lively, warm prose, this edition continues the title's integration of gender, culture, and ethnicity. By the end, readers will learn how to interpret research and to address and resolve controversies. MyPsychLab is an integral part of the Wade/Tavris/Garry program. Engaging activities and assessments provide a teaching and learning system that helps students think like a psychologist. With MyPsychLab, students can watch videos on psychological research and applications, participate in virtual classic experiments, and develop critical thinking skills through writing. "Invitation to Psychology, "5/e is available in a new DSM-5 Updated edition. To learn more, click here. This title is available in a variety of formats - digital and print. Pearson offers its titles on the devices students love through Pearson's MyLab products, CourseSmart, Amazon, and more.

    The authors draw upon extensive industry and classroom experience to explain modern practices of chip design. The introductory chapter covers transistor operation, CMOS gate design, fabrication, and layout at a level accessible to anyone with an elementary knowledge of digital electornics. Later chapters beuild up an in-depth discussion of the design of complex, high performance, low power CMOS Systems-on-Chip.

    Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions.But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist," to extract this gold from your data? Nope.Data science is little more than using straight-forward steps to process raw data into actionable insight. And in Data Smart, author and data scientist John Foreman will show you how that's done within the familiar environment of a spreadsheet. Why a spreadsheet? It's comfortable! You get to look at the data every step of the way, building confidence as you learn the tricks of the trade. Plus, spreadsheets are a vendor-neutral place to learn data science without the hype. But don't let the Excel sheets fool you. This is a book for those serious about learning the analytic techniques, the math and the magic, behind big data.Each chapter will cover a different technique in a spreadsheet so you can follow along: - Mathematical optimization, including non-linear programming and genetic algorithms- Clustering via k-means, spherical k-means, and graph modularity- Data mining in graphs, such as outlier detection- Supervised AI through logistic regression, ensemble models, and bag-of-words models- Forecasting, seasonal adjustments, and prediction intervals through monte carlo simulation- Moving from spreadsheets into the R programming languageYou get your hands dirty as you work alongside John through each technique. But never fear, the topics are readily applicable and the author laces humor throughout. You'll even learn what a dead squirrel has to do with optimization modeling, which you no doubt are dying to know.

    However, most discussions of Bayesian inference rely on intensely complex mathematical analyses and artificial examples, making it inaccessible to anyone without a strong mathematical background. Now, though, Cameron Davidson-Pilon introduces Bayesian inference from a computational perspective, bridging theory to practice-freeing you to get results using computing power. Bayesian Methods for Hackers illuminates Bayesian inference through probabilistic programming with the powerful PyMC language and the closely related Python tools NumPy, SciPy, and Matplotlib. Using this approach, you can reach effective solutions in small increments, without extensive mathematical intervention. Davidson-Pilon begins by introducing the concepts underlying Bayesian inference, comparing it with other techniques and guiding you through building and training your first Bayesian model. Next, he introduces PyMC through a series of detailed examples and intuitive explanations that have been refined after extensive user feedback. You'll learn how to use the Markov Chain Monte Carlo algorithm, choose appropriate sample sizes and priors, work with loss functions, and apply Bayesian inference in domains ranging from finance to marketing. Once you've mastered these techniques, you'll constantly turn to this guide for the working PyMC code you need to jumpstart future projects. Coverage includes - Learning the Bayesian "state of mind" and its practical implications - Understanding how computers perform Bayesian inference - Using the PyMC Python library to program Bayesian analyses - Building and debugging models with PyMC - Testing your model's "goodness of fit" - Opening the "black box" of the Markov Chain Monte Carlo algorithm to see how and why it works - Leveraging the power of the "Law of Large Numbers" - Mastering key concepts, such as clustering, convergence, autocorrelation, and thinning - Using loss functions to measure an estimate's weaknesses based on your goals and desired outcomes - Selecting appropriate priors and understanding how their influence changes with dataset size - Overcoming the "exploration versus exploitation" dilemma: deciding when "pretty good" is good enough - Using Bayesian inference to improve A/B testing - Solving data science problems when only small amounts of data are available Cameron Davidson-Pilon has worked in many areas of applied mathematics, from the evolutionary dynamics of genes and diseases to stochastic modeling of financial prices. His contributions to the open source community include lifelines, an implementation of survival analysis in Python. Educated at the University of Waterloo and at the Independent University of Moscow, he currently works with the online commerce leader Shopify.